Feng Chung Wu

64 total papers · 549 total citations
39 papers, 319 citations indexed

About

Feng Chung Wu is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Chung Wu has authored 39 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Oncology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Chung Wu's work include Colorectal Cancer Screening and Detection (5 papers), AI in cancer detection (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). Feng Chung Wu is often cited by papers focused on Colorectal Cancer Screening and Detection (5 papers), AI in cancer detection (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). Feng Chung Wu collaborates with scholars based in Brazil, China and United States. Feng Chung Wu's co-authors include Huei Lee, Newton Spolaôr, Antonio Rafael Sabino Parmezan, Cláudio Saddy Rodrigues Coy, Jefferson Tales Oliva, Yang Cao, Meili Wang, Qiang Gao, Zheng-Jun Zha and Haiyong Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BMC Public Health.

In The Last Decade

Feng Chung Wu

36 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Feng Chung Wu 122 98 43 26 25 39 319
Yunendah Nur Fuadah 86 0.7× 73 0.7× 46 1.1× 19 0.7× 64 2.6× 34 337
Serkan Savaş 104 0.9× 54 0.6× 16 0.4× 32 1.2× 56 2.2× 37 358
Susan Elias 107 0.9× 142 1.4× 22 0.5× 36 1.4× 11 0.4× 35 321
Abdullah Al Hejaili 139 1.1× 72 0.7× 16 0.4× 18 0.7× 55 2.2× 42 332
Yan Chen 93 0.8× 48 0.5× 40 0.9× 19 0.7× 78 3.1× 27 315
Guadalupe Canahuate 100 0.8× 75 0.8× 30 0.7× 47 1.8× 84 3.4× 46 361
Maleika Heenaye-Mamode Khan 130 1.1× 70 0.7× 33 0.8× 47 1.8× 123 4.9× 43 341
Iván González-Díaz 139 1.1× 183 1.9× 114 2.7× 18 0.7× 24 1.0× 33 361
Sukhpreet Kaur 106 0.9× 42 0.4× 27 0.6× 21 0.8× 28 1.1× 30 349
Wajid Ali 62 0.5× 84 0.9× 12 0.3× 50 1.9× 17 0.7× 46 306

Countries citing papers authored by Feng Chung Wu

Since Specialization
Citations

This map shows the geographic impact of Feng Chung Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng Chung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Chung Wu more than expected).

Fields of papers citing papers by Feng Chung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Chung Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng Chung Wu. The network helps show where Feng Chung Wu may publish in the future.

Co-authorship network of co-authors of Feng Chung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Chung Wu. A scholar is included among the top collaborators of Feng Chung Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Chung Wu. Feng Chung Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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